[Hiring] Network Strategy & Data Analytics Lead @Meta

Role Description

We are seeking a Network Strategy & Data Analytics Lead to develop digital infrastructure and terrestrial network strategies and drive investment recommendations. You will frame ambiguous strategic questions, combine network, market, supplier, operational, and financial evidence, and use fit-for-purpose models to evaluate alternatives, test assumptions, and quantify tradeoffs. The role requires the flexibility to move between strategy development, analytical problem solving, and executive decision support.

An ideal person for this role is a strategic, analytically-rigorous thinker with experience in telecoms and developing global digital connectivity solutions who thrives in fast-paced, ambiguous and cross-functional environments. Successful candidates will operate independently with directional guidance, exercise judgment in defining problems and selecting methods, advise cross-functional partners on complex matters, and influence team-level priorities and investment decisions.

This position is full time and based in our Menlo Park, Denver or WDC offices [remote possible].

Responsibilities

• Lead development of long-term terrestrial network strategies that meet Meta’s capacity, reliability, scalability, efficiency, and business objectives.
• Frame ambiguous network and investment questions by defining strategic options, decision criteria, critical assumptions, and the analysis required to reach a recommendation.
• Use network, demand, market, supplier, operational, and financial data to assess capacity gaps, investment timing, and strategic opportunities.
• Build and challenge fit-for-purpose models, test critical assumptions, and ensure conclusions are reliable and decision-relevant.
• Develop investment recommendations and business cases that compare alternatives across cost, risk, timing, optionality, reliability, and strategic fit.
• Write clear, concise, decision-ready documents that synthesize complex technical, commercial, operational, and financial evidence into coherent narratives, explicit tradeoffs, recommendations, and asks for senior leaders.
• Use AI-assisted tools with sound judgment to accelerate research, modeling, analysis, and synthesis while validating outputs and retaining accountability for conclusions.
• Build alignment across internal and external stakeholders, reconcile conflicting perspectives, clarify ownership, and drive decisions to closure.
• Travel up to 30% of time; greater if remote.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 6+ years of experience in network strategy, network planning, infrastructure investment, quantitative consulting, data analytics, or a related field.
• 3 years of experience in strategy consulting, investment banking/research, strategic planning with telecommunications or subsea infrastructure focus.
• Previous experience with financial, economic, or network-modeling skills, including scenario and sensitivity analysis and the ability to test critical assumptions.
• Experience using complex datasets and analytical tools such as SQL, Python, spreadsheets, or equivalent methods to investigate questions and support decisions.
• Analytical skills and ability to synthesize market and technical data into strategic plans.
• Written and verbal communication skills, and experience creating and delivering to senior audiences.

Preferred Qualifications

• Experience integrating AI or automation tools into investment analysis, portfolio tracking, or workflow optimization to drive measurable efficiency gains.
• Knowledge of backbone and long-haul fiber network concepts including route design, IRU and lease structures, and the full capacity delivery lifecycle.
• Experience with network capacity planning, demand forecasting, or traffic engineering fundamentals that inform investment sizing decisions.
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews).
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies.
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements).
• Experience at a hyperscale technology company, major telecommunications carrier, or global network infrastructure provider.

Compensation

$135,000/year to $191,000/year + bonus + equity + benefits